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RAPIDS AI
An end to end collection of CUDA accelerated data science libraries built on , scaled with for ETL, ML, and graph analytics
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RAPIDS AI retweeted
Boston Limited Jun 12
BREAKING NEWS: We’re excited to announce that Boston is the first offering in Europe for RAPIDS test drive! The suite of open-source software libraries will be available for testing via our . Discover more on our website:
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RAPIDS AI retweeted
lmeyerov 22h
1/ Was writing a private note to a professor friend in programming language design, and realized, if you research parallel/dist computing, and you don't know about Apache Arrow + GOAI/RAPIDS, you're missing a rare moment as a researcher.
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RAPIDS AI retweeted
Lee Hawthorn 16h
Mind blowing talk and demo from showing how can accelerate data science using chester data insight
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realpaulmahler 20h
Wow, I have a lot of content going out today! I talk about a feature engineering use case that came up on work I did with . This was a lot of fun to write, and I hope you enjoy it. (with a footnoted shoutout to
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RAPIDS AI retweeted
Adam Breindel 20h
Want to scale out w and Jupyter in the cloud, without messing with AWS, AMIs, etc? will have you running in seconds. They do the terraform and k8s stuff, so you don’t have to! And they support GPU instances for stuff like deep learning and !
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Matthew Rocklin Jun 25
I think that your next 5-10 minutes would be best spent filling out this form. I mean, you're looking at Twitter, clearly you have some free time :)
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RAPIDS AI retweeted
Dask Jun 25
Announcing the Dask User Survey for 2019 ! This takes 5-10 minutes and impacts our future direction. Please spread widely!
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RAPIDS AI 20h
Lots of data and fast processing aren’t enough in today. Senior Data Scientist, discusses feature engineering and understanding your data to build proper features for better training
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RAPIDS AI retweeted
realpaulmahler 21h
Finance and/or Data Science people! Join me for a webinar on Accelerating Python in Banking, with helps from ! Do what you're doing now, with basically the same code, 5x-6,000x faster.
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RAPIDS AI retweeted
Mark Harris Jun 23
With the addition of Java bindings in the upcoming 0.8 release, is becoming a colorful project! , , ,
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RAPIDS AI retweeted
Eric Ma Jun 21
gives me superpowers to operate at the scale of all of our data. If it existed during grad school, I might have finished the computation part of my thesis in about half the time. I can now do data analysis at 2-3 orders of magnitude larger like a breeze.
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RAPIDS AI retweeted
Chainer Jun 20
Released / v6.1.0 with some enhancements and bug fixes!
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RAPIDS AI retweeted
Chainer Jun 21
Released / v7.0.0b1 with many new features and enhancements including TabularDataset and backproppable ChainerX routines!
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RAPIDS AI retweeted
Adam Thompson Jun 21
I switched to the nightly conda packages for my own development a few weeks ago and haven’t looked back. Can’t beat the feeling when a blocker is eliminated with a merged PR!
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RAPIDS AI retweeted
Brett Olsen Jun 21
Don't miss out! NVIDIA's Christoph Angerer will talk about ' and Data Science on GPUs' from 12:00-12:30 in Panorama 3 at , Wednesday, 19 June:
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RAPIDS AI Jun 21
Release code early and often. That's the RAPIDS engineering philosophy. So stay current on latest features with our nightly and container releases.
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RAPIDS AI retweeted
Pasha Jun 20
Presentations from covering progress on , MPICH, Mvapich, integration with Charm++, , , Java, etc.
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openucx Jun 20
BoF session video posted! Learn about upcoming features, releases, F2F meeting
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RAPIDS AI Jun 20
Thank you for inspiring everyone to be multilingual!
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RAPIDS AI retweeted
Keith Kraus Jun 20
With merge of we've started bringing bindings to the ecosystem. Awesome work from the team, and super excited to continue building a -accelerated future of data science! Here's to a smooth 0.8 release next week 🙏
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